Textiles, Apparel & Luxury Goods

The effort points to ways in which Amazon and other companies could try to improve the tracking of trends in other areas of retail--making recommendations based on products popping up in social-media posts, for instance. For instance, one group of Amazon researchers based in Israel developed machine learning that, by analyzing just a few labels attached to images, can deduce whether a particular look can be considered stylish. An Amazon team at Lab126, a research center based in San Francisco, has developed an algorithm that learns about a particular style of fashion from images, and can then generate new items in similar styles from scratch--essentially, a simple AI fashion designer. The event included mostly academic researchers who are exploring ways for machines to understand fashion trends.

The effort points to ways in which Amazon and other companies could try to improve the tracking of trends in other areas of retail--making recommendations based on products popping up in social-media posts, for instance. For instance, one group of Amazon researchers based in Israel developed machine learning that, by analyzing just a few labels attached to images, can deduce whether a particular look can be considered stylish. An Amazon team at Lab126, a research center based in San Francisco, has developed an algorithm that learns about a particular style of fashion from images, and can then generate new items in similar styles from scratch--essentially, a simple AI fashion designer. The event included mostly academic researchers who are exploring ways for machines to understand fashion trends.

From movie makers to fashion designers, the future of compelling and engaging creative content will be powered by great artificial intelligence. "One of the interesting things about the AI process is that it can really help streamline the movie trailer process, we can look at creativity and study it as a'black box', and we can also look at historical data around the movie," he said. Last year, IBM's Watson cognitive computing platform was used by local couture designer, Jason Grech, to create a new fashion line using data-driven insights. For organisations hesitant about embracing AI in the creative space, Smith said there should be no fear factor when it comes to embracing its power and potential.

The effort points to ways in which Amazon and other companies could try to improve the tracking of trends in other areas of retail--making recommendations based on products popping up in social-media posts, for instance. For instance, one group of Amazon researchers based in Israel developed machine learning that, by analyzing just a few labels attached to images, can deduce whether a particular look can be considered stylish. An Amazon team at Lab126, a research center based in San Francisco, has developed an algorithm that learns about a particular style of fashion from images, and can then generate new items in similar styles from scratch--essentially, a simple AI fashion designer. The event included mostly academic researchers who are exploring ways for machines to understand fashion trends.

The effort points to ways in which Amazon and other companies could try to improve the tracking of trends in other areas of retail--making recommendations based on products popping up in social-media posts, for instance. For instance, one group of Amazon researchers based in Israel developed machine learning that, by analyzing just a few labels attached to images, can deduce whether a particular look can be considered stylish. An Amazon team at Lab126, a research center based in San Francisco, has developed an algorithm that learns about a particular style of fashion from images, and can then generate new items in similar styles from scratch--essentially, a simple AI fashion designer. The event included mostly academic researchers who are exploring ways for machines to understand fashion trends.

Amazon has developed an algorithm that can design clothing by analyzing a bunch of images to copy the style and then apply it to new items generated from scratch, reports MIT. The algorithm was developed by Amazon Lab 126, the company's research and development hub and uses a tool called generative adversarial network (GAN). The GAN is a new technique in AI research that forces two neural networks against one another, using the outcome to improve the overall system. Imagine it: Amazon spots a trend and then quickly design clothes via AI that can be produced on-demand.

That's exactly what Amazon hopes to do with its new clothing design algorithm. Instead of human designers creating your favorite looks, Amazon's algorithm would become the creative genius. Once it has learned the style, it can transform an existing piece of clothing to fit in that style. The system will be able to identify rising fashion trends and start creating its own unique pieces for Amazon customers to purchase.

The online retail giant is busy developing a number of machine learning programs that could help both the public and fashion designers seek out the next big clothing trend. The event also included a slew of additional papers by academic researchers specializing in how machine learning can be applied to fashion. Notably, a group from the University of Maryland presented a "style transfer" system for clothing. Popularized by apps like Prisma -- and appropriated by Facebook -- the process lets you apply a painting's style to your pics.

The effort points to ways in which Amazon and other companies could try to improve the tracking of trends in other areas of retail--making recommendations based on products popping up in social-media posts, for instance. For instance, one group of Amazon researchers based in Israel developed machine learning that, by analyzing just a few labels attached to images, can deduce whether a particular look can be considered stylish. An Amazon team at Lab126, a research center based in San Francisco, has developed an algorithm that learns about a particular style of fashion from images, and can then generate new items in similar styles from scratch--essentially, a simple AI fashion designer. The event included mostly academic researchers who are exploring ways for machines to understand fashion trends.

So we created a specific kind of neural network -- called a convolutional variational autoencoder -- to investigate a dataset of runway photos from London Fashion Week (LFW). We wanted to analyse a set of 3,000 photos from the London Fashion Week Spring 2017 shows. Most of the photos were taken in a runway show; the background behind the model in the photos is often quite simple. Fashion week shows are probably the best representation of strong design identity within fashion, as designers use these events to reveal their interpretation of the season.